Literature DB >> 35117493

Clinical characteristics and treatments of large cell lung carcinoma: a retrospective study using SEER data.

Qidong Tai1, Lei Zhang1, Xuefei Hu1.   

Abstract

BACKGROUND: Large cell lung carcinoma (LCLC) is a rare malignancy with poor outcome, and little is known about its clinical characteristics and treatments.
METHODS: The clinical information of LCLC patients was collected from the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015. The Kaplan-Meier method was used to determine the overall survival (OS) and lung cancer-specific survival (LCSS). Univariate and multivariate analyses were further performed to investigate the independent prognostic factors of OS. A final nomogram was built using the Cox proportional hazards model.
RESULTS: In total, 4,099 patients diagnosed with LCLC were included. 70.2% of patients were older than 60, and more male patients were found. Besides, 60.2% of lesions were found in the upper lobe. Moreover, most patients showed poor differentiation and presented with stage III or IV. Multivariate Cox analysis revealed age, gender, marital status, laterality, tumor size, stage, chemotherapy and surgery were independent prognostic factors of LCLC. The prognosis after surgery combined with chemotherapy was better than that after surgery alone (P=0.041, HR =0.875, 95% CI: 0.771-0.993). The nomogram had good discrimination with a concordance index of 0.757.
CONCLUSIONS: LCLC is more common in the elderly and males. Most of lesions are located in the upper lobe and are diagnosed at stage III/IV with poor differentiation. Age, gender, marital status, laterality, tumor size, stage, chemotherapy and surgery were associated with OS. Surgery combined with chemotherapy may achieve a better prognosis and the nomogram accurately predicted the 1-, 3-, and 5-year OS. 2020 Translational Cancer Research. All rights reserved.

Entities:  

Keywords:  Large cell lung carcinoma (LCLC); Surveillance, Epidemiology, and End Results (SEER); prognosis; treatment

Year:  2020        PMID: 35117493      PMCID: PMC8799166          DOI: 10.21037/tcr.2020.01.40

Source DB:  PubMed          Journal:  Transl Cancer Res        ISSN: 2218-676X            Impact factor:   1.241


Introduction

Lung cancer is the most common malignant tumor in the world and has the highest fatality rate (1). It consists of non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC). Histologically, NSCLC can be further classified as adenocarcinoma, squamous cell carcinoma and large cell carcinoma with or without neuroendocrine features. In NSCLC, according to cohort demographics and classification scheme, large cell lung cancer (LCLC) only accounts for 9% of all cases and often has poor differentiation and prognosis (2-5). Based on the WHO lung cancer classification (6), LCLC is defined as an undifferentiated non-small cell carcinoma, because it lacks the cellular and structural characteristics related to the adenocarcinoma or squamous cell carcinoma. The diagnosis of LCLC mainly depends on post-operative pathological examination rather than biopsy and cytological examination (7). There is evidence showing that LCLC is frequently found in males and smokers and often presents as a large mass with central necrosis (8-10). Furthermore, LCLC is more commonly seen in the elderly (>60), and its clinical symptoms and signs correlate with the location and the extent of invasion. Due to its low incidence and a lack of relevant clinical data, less is known about its clinical and biological characteristics. In this retrospective study, the clinical information of patients with LCLC registered in the Surveillance, Epidemiology and End Results (SEER) database was extracted and analyzed, aiming to better understand its clinical behaviors and factors affecting the survival of patients.

Methods

Data extraction

The SEER database includes the information on cancer incidence and survival from 18 cancer registries, covering 26% of the population. Data for patients diagnosed with LCLC during 2004–2015 were extracted using the SEER*Stat software version 8.3.5. The study cohort contained patients according to the International Classification of Disease for Oncology, third edition (ICD-O-3) histology code 8012/3 (Large cell carcinoma, NOS), 8013/3 (Large cell neuroendocrine carcinoma), and 8014/3 (Large cell carcinoma with rhabdoid phenotype). Based on the 2004 WHO classification, large cell neuroendocrine carcinoma belongs to the family of large cell carcinoma. Therefore, such patients were also comprised in the cohort. The exclusion criteria were as follows: (I) patients had more than one primary tumors; (II) patients had no data on the survival; (III) the diagnosis was not pathologically confirmed; (IV) patients without clinicopathological information, including age, gender, race, marital status, primary site, laterality, grade, size, AJCC stage, chemotherapy and surgery. The clinical staging was determined according to the eighth TNM edition through the R version 3.4.3 software. The outcomes included overall survival (OS) and lung cancer-specific survival (LCSS). The analysis cut-off date was 31 December 2015. OS was defined as the time from diagnosis to death from any cause or until the most recent follow-up. And the LCSS was defined as the time from diagnosis to either death caused by disease or last follow-up. In the SEER database, patients who survived for less than 1 month were coded with a survival time of zero. Therefore, a survival of 0.5 months was assigned to these patients following the standard epidemiological convention.

Statistical analysis

Categorical variables were analyzed with the Chi-square test. To adjust for the bias between surgical patients with or without chemotherapy, the propensity-matched (PSM) analysis was adopted. The PSM module was based upon age, gender, race, marital status, primary site, laterality, grade, size, and stage. Cumulative survival curves were determined using the Kaplan-Meier method and compared using the log-rank test. To perform univariate and multivariate analyses, Cox proportional hazards model was employed. Only variables that were significantly associated with the survival in univariate Cox analysis were included in the multivariate Cox analysis. Hazard ratio (HR) and 95% confidence interval (CI) were presented. And the nomogram was delineated based on the results of multivariate Cox analysis by using R version 3.4.3 software. The prediction error was estimated with 1000 bootstrap samples. A value of two-sided P<0.05 was considered statistically significant. Statistical analysis was performed with the software R version 3.4.3 and SPSS 25.0 (SPSS, Chicago, IL). GraphPad Prism 5.0 (GraphPad Software, San Diego, CA) was used to delineate the survival curve.

Results

Clinical characteristics

As shown in , a total of 4,008 patients were diagnosed with LCLC between 2004 and 2015, and 70.2% of patients were older than 60 years. Slightly more than half of the patients were male (57.6%). In addition, the majority (53.9%) was married and 58.1% of tumors located in the right lung (41.4% in the left lung). Interestingly, the upper lobe was the most common site of lesions (60.2%), followed by the lower lobe (24.9%). And 97.8% of tumors showed poor differentiation or undifferentiation. Correspondingly, stage III/IV tumors accounted for 57.4%, while 20.1% and 12.5% of tumors were diagnosed at stage I and II, respectively. Moreover, the size of most tumors (62.4%) was less than 5 cm.
Table 1

Characteristics of 4,008 patients with LCLC

CharacteristicsNumber of cases (%)
Total4,008
Age
   ≤601,196 (29.8)
   >602,812 (70.2)
Gender
   Female1,699 (42.4)
   Male2,309 (57.6)
Race
   White3,273 (81.7)
   Black538 (13.4)
   Other (American Indian/AK Native, Asian/Pacific Islander)197 (4.9)
Marital Status
   Married2,161 (53.9)
   Single566 (14.1)
   Other (Separated/Divorced/Widowed)1281 (32)
Primary site
   Main bronchus159 (4)
   Upper lobe, lung2,411 (60.2)
   Middle lobe, lung188 (4.7)
   Lower lobe, lung998 (24.9)
   Overlapping lesion56 (1.4)
   Lung, NOS196 (4.9)
Laterality
   Left1,658 (41.4)
   Right2,328 (58.1)
   Bilateral22 (0.5)
Grade
   Well/Moderate89(2.2)
   Poor/Undifferentiated3,919(97.8)
Tumor size (cm)
   ≤31,327 (33.1)
   3–51,174 (29.3)
   5–7718 (17.9)
   ≥7789 (19.7)
Stage
   I807 (20.1)
   II501 (12.5)
   III966 (24.1)
   IV1,734 (43.3)
Chemotherapy
   No/Unknown2,181 (54.4)
   Yes1,827 (45.6)
Surgery
   No/Unknown2,364 (59)
   Yes1,644 (41)

Treatments

shows the relevant treatments of LCLC. Only 26.1% of patients received surgery alone, while 15.0% of cases accepted surgery combined with chemotherapy. There were meaningful differences in the age, marital status, tumor size and stage between surgical patients with or without chemotherapy (P<0.05 for all). Neither distribution of gender, race, primary site, laterality nor grade differed significantly between objects who selected surgery or surgery plus chemotherapy. Furthermore, the results of the correlational analysis presented that with the improvement of size and stage, patients were more inclined to choose comprehensive treatment.
Table 2

Surgically treated patients with or without chemotherapy

CharacteristicsChemotherapyP value
No/unknown (n=1,045)Yes (n=599)
Age<0.01
   ≤60250 (23.9)279 (46.6)
   >60795 (76.1)320 (53.4)
Gender0.744
   Female478 (45.7)269 (44.9)
   Male567 (54.3)330 (55.1)
Race0.474
   White886 (84.8)506 (84.5)
   Black101 (9.7)66 (11)
   Other (American Indian/AK Native, Asian/Pacific Islander)58 (5.6)27 (4.5)
Marital status0.014
   Married582 (55.7)372 (62.1)
   Single124 (11.9)73 (12.2)
   Other (separated/divorced/widowed)339 (32.4)154 (25.7)
Primary site0.348
   Main bronchus9 (0.9)5 (0.8)
   Upper lobe, lung667 (63.8)400 (66.8)
   Middle lobe, lung56 (5.4)21 (3.5)
   Lower lobe, lung281 (26.9)150 (25)
   Overlapping lesion15 (1.4)14 (2.3)
   Lung, NOS17 (1.6)9 (1.5)
Laterality0.835
   Left462 (44.2)268 (44.7)
   Right583 (55.8)331 (55.3)
   Bilateral00
Grade0.442
   Well + moderate37 (3.5)17 (2.8)
   Poor + undifferentiated1,008 (96.5)582 (97.2)
Tumor size (cm)<0.01
   ≤3573 (54.8)201 (33.6)
   3–5282 (27)216 (36.1)
   5–7112 (10.7)95 (15.9)
   ≥778 (7.5)87 (14.5)
Stage<0.01
   I594 (56.8)110 (18.4)
   II211 (20.2)184 (30.7)
   III153 (14.6)225 (37.6)
   IV87 (8.3)80 (13.4)

Survival

The median OS and LCSS were 35 months (95% CI: 30.61–39.40) and 55 months (95% CI: 43.29–66.71), respectively. show the OS and LCSS curves. Meanwhile, the overall 1-, 3- and 5-year survival rates were 45.6%, 24.8%, and 19.0%. Correspondingly, the 1-, 3-, and 5-year of LCSS were 49.1%, 28.8% and 24.1%, respectively. In addition, the median survival time was 34 months (range: 28.59–39.41 months) in patients undergoing surgery alone and 38 months (range: 31.04–44.99 months) in those receiving surgery plus chemotherapy (). Moreover, in patients with surgery alone and those with surgery combined with chemotherapy, the 1-year survival rate was 71.7% and 77.5%; the 3-year survival rate was 48.3 and 50.7%; and the 5-year survival rate was 38.8% and 41.0%, separately. As shown in , the OS in patients receiving surgery with chemotherapy was better than in patients undergoing surgery alone (P=0.041, HR =0.875, 95% CI: 0.771–0.993).
Figure 1

Kaplan Meier curve of (A) overall survival and (B) cancer-specific survival.

Figure 2

Kaplan-Meier curve of overall survival in surgically treated patients with/without chemotherapy before (A) and after (B) propensity score matching.

Kaplan Meier curve of (A) overall survival and (B) cancer-specific survival. Kaplan-Meier curve of overall survival in surgically treated patients with/without chemotherapy before (A) and after (B) propensity score matching. Furthermore, the PSM analysis was done in surgical patients with or without chemotherapy based on the age, gender, race, marital status, primary site, laterality, grade, tumor size, and stage. In the analysis, 244 patients received chemotherapy and 244 subjects had no chemotherapy (1:1). There were no significant differences in the clinical characteristics between them (). OS curves and Log-rank analysis indicated that patients receiving chemotherapy enhanced the survival (P=0.047, HR=0.7924, 95% CI: 0.628–0.999).
Table S1

Characteristics of 488 patients after PSM analysis

CharacteristicsNon-chemotherapy (n=244)Chemotherapy (n=244)P value
Age1
   ≤606969
   >60175175
Gender1
   Female9898
   Male146146
Race1
   White228228
   Black1111
   Other (American Indian/AK Native, Asian/Pacific Islander)55
Marital Status1
   Married175175
   Single1414
   Other (separated/divorced/widowed)5555
Primary site1
   Main bronchus00
   Upper lobe, lung174174
   Middle lobe, lung99
   Lower lobe, lung5959
   Overlapping lesion11
   Lung, NOS11
Laterality1
   Left112112
   Right132132
   Bilateral00
Grade1
   Well + moderate00
   Poor + undifferentiated244244
Tumor size (cm)1
   ≤38383
   3–59696
   5–73737
   ≥72828
Stage1
   I8080
   II9595
   III5555
   IV1414
Variables potentially influencing OS were further investigated using the univariate Cox proportional hazards analysis. displays the potential factors (P<0.01) associated with the prognosis except for the race (P=0.18). Further multivariate Cox analysis was performed to identify the independent prognostic elements. Results showed age (P<0.01), gender (P=0.01), marital status (P=0.004), laterality (P=0.015), tumor size (P<0.01), stage (P<0.01), chemotherapy (P<0.01) and surgery (P<0.01) were able to predict the survival of LCLC patients. The pathological grade correlated with the stage, thus it could exclude. Moreover, a nomogram () was-plotted based on the risk factors identified by the multivariate analysis for predicting 1-, 3-, and 5-year OS. And according to the internal bootstrap resampling validation, the calibration plot () was illustrated. The C-index for prediction of OS was 0.757 (95% CI: 0.749–0.765), which indicated a sufficient level of discrimination.
Table 3

Univariate and multivariate Cox proportional hazard analyses of clinical characteristics for overall survival rate of LCLC patients

Independent variablesUnivariate analysisMultivariate analysis
HR (95% CI)P valueHR (95% CI)P value
Age<0.01<0.01
   ≤601.00 (reference)1.00 (reference)
   >601.252 (1.159–1.353)1.264 (1.166–1.371)
Gender<0.010.01
   Female1.00 (reference)1.00 (reference)
   Male1.184 (1.103–1.270)1.101 (1.023–1.186)
Race0.18
   White1.00 (reference)
   Black1.04 (0.939–1.152)0.446
   Other (American Indian/AK Native, Asian/Pacific Islander)0.875 (0.744–1.029)0.106
Marital Status<0.010.004
   Married1.00 (reference)1.00 (reference)
   Single1.192 (1.074–1.322)0.0011.136 (1.021–1.264)0.019
   Other (separated/divorced/widowed)1.126 (1.043–1.216)0.0021.125 (1.038–1.219)0.004
Primary site<0.01
   Main bronchus1.00 (reference)
   Upper lobe, lung0.588 (0.497–0.695)<0.01
   Middle lobe, lung0.613 (0.490–0.769)<0.01
   Lower lobe, lung0.631 (0.529–0.752)<0.01
   Overlapping lesion0.504 (0.354–0.718)<0.01
   Lung, NOS1.147 (0.923–1.426)1.147
Laterality0.0040.015
   Left1.00 (reference)1.00 (reference)
   Right0.974 (0.908–1.045)0.4630.903 (0.841–0.969)0.005
   Bilateral2.037 (1.310–3.169)0.0020.822 (0.527–1.283)0.388
Grade0.012
   Well + moderate1.00 (reference)
   Poor + undifferentiated1.37 (1.072–1.752)
Tumor size (cm)<0.01<0.01
   ≤31.00 (reference)1.00 (reference)
   3–51.332 (1.218–1.457)<0.011.081 (0.983–1.188)0.107
   5–71.62 (1.463–1.794)<0.011.134 (1.015–1.267)0.026
   ≥72.186 (1.981–2.412)<0.011.346 (1.208–1.500)<0.01
Stage<0.01<0.01
   I1.00 (reference)1.00 (reference)
   II1.277 (1.110–1.469)0.0011.386 (1.192–1.611)<0.01
   III2.052 (1.829–2.301)<0.011.858 (1.619–2.132)<0.01
   IV4.831 (4.348–5.367)<0.013.454 (3.018–3.953)<0.01
Chemotherapy<0.01<0.01
   No/unknown1.00 (reference)1.00 (reference)
   Yes0.852 (0.794–0.913)0.504 (0.467–0.543)
Surgery<0.01<0.01
   No/unknown1.00 (reference)1.00 (reference)
   Yes0.282 (0.261–0.305)0.411 (0.373–0.453)
Figure 3

Nomogram to predict 1-, 3-, 5-year overall survival of patients with large cell lung cancer.

Figure 4

Calibration plots of the nomogram prediction of (A) 1-, (B) 3-, (C) 5-year overall survival of large cell lung cancer patients.

Nomogram to predict 1-, 3-, 5-year overall survival of patients with large cell lung cancer. Calibration plots of the nomogram prediction of (A) 1-, (B) 3-, (C) 5-year overall survival of large cell lung cancer patients.

Discussion

According to the 2004 lung cancer classification (11), LCLC is a poorly differentiated tumor and accounts for about 10% of NSCLC. However, with the emergence of 2015 lung cancer classification (6), basaloid carcinoma is classified as squamous cell carcinoma, the large cell neuroendocrine carcinoma and compound large cell neuroendocrine carcinoma are classified as neuroendocrine tumors, the lymphoepithelioma-like carcinoma is categorized as other or unclassified cancer, finally, the clear cell carcinoma and LCLC with rhabdoid phenotype are not comprised. Thus, the incidence of LCLC is likely to be lower than 10%, based on the new classification (9). In our series, LCLC was more common in males and in the elderly at the time of diagnosis. In addition, lesions predominated on upper lobe, which was consistent with previous findings (12-14). Cao et al. also reported that large cell neuroendocrine carcinoma frequently observed in men and old people (15). Cao et al. (15) and Oshiro et al. (16) held that most of large cell neuroendocrine carcinoma was pathologically high-grade. In our study, 97.8% of patients showed poor differentiation at the time of diagnosis. Previous researches appeared that LCLC formed a large mass (13,17). During our research, nearly half of the neoplasms was smaller than 5 cm in diameter. Early diagnosis and early treatment are crucial for the survival of LCLC patients because of the poor prognosis. A prospective study on large cell neuroendocrine carcinoma showed that postoperative chemotherapy could achieve a better prognosis as compared to surgery alone (18). In addition, Kujtan et al. found that the survival time of patients with stage IA large cell neuroendocrine carcinoma who received surgery combined with chemotherapy was significantly longer than in those receiving surgery alone (19). Hanagiri et al. presented that the 5-year survival rate in patients receiving surgery for large cell carcinoma was 61.5% (13). However, the 5-year survival rate was only 38.8% in our study. This might be ascribed to the small sample size (57 patients). Moreover, our results showed the 5-year survival rate of patients receiving surgery combined with chemotherapy was 41%, which was better than that of patients receiving surgery alone. Some studies had also recommended a combination of surgery and chemotherapy for the treatment of LCLC, and post-operative cisplatin/pemetrexed may achieve a better prognosis than post-operative cisplatin/gemcitabine (10.4 vs. 6.7 months, respectively) (20). There were also several limitations in our study. First, we carried out the research according to the 2004 lung cancer classification, which is different from the 2015 lung cancer classification. Second, patients were divided into two groups according to whether they received chemotherapy or not, but the specific regimens for chemotherapy were unknown. At last, for patients diagnosed with LCLC, more prospective clinical studies are needed to elucidate the prognostic factors and further investigate the efficacy of available treatments. In conclusion, LCLC is more common in the elderly (>60 years) and mainly located in the upper lobe. The majority of tumors are diagnosed at stage III/IV. Surgery combined with chemotherapy is beneficial for the prognosis of LCLC patients.
  20 in total

Review 1.  Large cell carcinoma of lung: On the verge of extinction?

Authors:  Annikka Weissferdt
Journal:  Semin Diagn Pathol       Date:  2014-06-12       Impact factor: 3.464

2.  [Clinicopathologic features and genetic profile of the redefined large cell lung carcinoma].

Authors:  L K Hou; L P Zhang; W Zhang; Y Huang; W Wu; Z W Dong; C Y Wu
Journal:  Zhonghua Bing Li Xue Za Zhi       Date:  2017-05-08

3.  The Role of Systemic Therapy in the Management of Stage I Large Cell Neuroendocrine Carcinoma of the Lung.

Authors:  Lara Kujtan; Varsha Muthukumar; Kevin F Kennedy; John Russell Davis; Ashiq Masood; Janakiraman Subramanian
Journal:  J Thorac Oncol       Date:  2018-01-31       Impact factor: 15.609

4.  CT findings of surgically resected large cell neuroendocrine carcinoma of the lung in 38 patients.

Authors:  Yasuji Oshiro; Masahiko Kusumoto; Yoshihiro Matsuno; Hisao Asamura; Ryousuke Tsuchiya; Hiroshi Terasaki; Hidefumi Takei; Arafumi Maeshima; Sadayuki Murayama; Noriyuki Moriyama
Journal:  AJR Am J Roentgenol       Date:  2004-01       Impact factor: 3.959

5.  Large Cell Carcinoma with Adenocarcinoma in Lung.

Authors:  Mustafa Kupeli; Resit Dogan Koseoglu
Journal:  J Coll Physicians Surg Pak       Date:  2018-03       Impact factor: 0.711

6.  Cancer statistics, 2016.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2016-01-07       Impact factor: 508.702

Review 7.  [Large cell carcinoma, lymphoepithelioma-like carcinoma, NUT carcinoma].

Authors:  Marie-Christine Copin
Journal:  Ann Pathol       Date:  2015-12-28       Impact factor: 0.407

8.  Distinct profile of driver mutations and clinical features in immunomarker-defined subsets of pulmonary large-cell carcinoma.

Authors:  Natasha Rekhtman; Laura J Tafe; Jamie E Chaft; Lu Wang; Maria E Arcila; Agnes Colanta; Andre L Moreira; Maureen F Zakowski; William D Travis; Camelia S Sima; Mark G Kris; Marc Ladanyi
Journal:  Mod Pathol       Date:  2012-11-30       Impact factor: 7.842

9.  Clinicopathological characteristics, treatment and survival of pulmonary large cell neuroendocrine carcinoma: a SEER population-based study.

Authors:  Ling Cao; Zhi-Wen Li; Min Wang; Ting-Ting Zhang; Bo Bao; Yun-Peng Liu
Journal:  PeerJ       Date:  2019-03-27       Impact factor: 2.984

10.  Clinical features of bronchogenic large cell carcinoma confirmed by surgical resection.

Authors:  Moo Suk Park; Dong Hwan Shin; Kyung Young Chung; Jae Hee Cheong; Jae Ho Chung; Do Hoon Kim; Se Kyu Kim; Joon Chang; Joo Hang Kim; Sung Kyu Kim; Young Sam Kim
Journal:  Korean J Intern Med       Date:  2003-12       Impact factor: 2.884

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